Sr. Solution Architect - AI

Role Overview

We are seeking a seasoned AI Pre-Sales leader to drive solutioning and business development across our AI service line. This role blends deep technical expertise with strong business acumen - translating complex customer problems into compelling AI-led solutions, positioning our services, and driving deals from opportunity to closure across diverse industries and geographies. The ideal candidate is an outstanding communicator who partners closely with Sales and Marketing to shape go-to-market and account-growth strategy.

Key Responsibilities

Solutioning Technical Leadership

• Understand customer business and technical challenges, and architect high-level AI/ML, GenAI, and Agentic AI solutions that address them

• Lead solution design across the full lifecycle - from concept and architecture to POCs, prototypes, and demos

• Position AI services and solutions in alignment with client priorities, industry context, and commercial viability

• Serve as the technical authority in client conversations, workshops, and executive presentations

Pre-Sales Deal Management

• Own the technical and solution response for RFPs, RFIs, and proposals - including effort estimation, architecture, and win themes

• Partner with sales to build account strategies and drive opportunities from qualification to closure

• Develop client-facing collateral: proposals, solution decks, architecture blueprints, and business cases

• Support pricing, scoping, and commercial structuring of AI engagements

Marketing Go-to-Market Collaboration

• Partner with the Marketing team to shape go-to-market (GTM) strategy, campaigns, and service-offering positioning for the AI service line

• Contribute to account mining strategy - identifying whitespace, expansion opportunities, and cross-sell/upsell plays within existing accounts

• Support development of thought leadership, case studies, and demand-generation content that strengthens market positioning

Stakeholder Client Engagement

• Manage multiple stakeholders across client organizations - from business users to C-level executives

• Build trusted advisor relationships with global clients across regions and time zones

• Collaborate cross-functionally with delivery, practice, and partner ecosystem teams

Required Skills Experience

Technical / AI

• 12+ years overall, with substantial hands-on experience in AI/ML and modern GenAI

• Deep expertise across Machine Learning, Deep Learning, LLMs, and Agentic AI systems

• Strong solution architecture and solution development background (data pipelines, model deployment, integration patterns)

• Cloud proficiency across one or more of AWS, Azure, GCP - including AI/ML platform services

• Familiarity with frameworks, orchestration, RAG, MCP, and agentic patterns

Domain / Business

• Experience solutioning across diverse verticals (e. g. , manufacturing, BFSI, retail, healthcare, supply chain) and business functions (finance, operations, HR, customer service)

• Proven track record with RFPs, proposals, and pre-sales solutioning

• Ability to connect technical solutions to measurable business outcomes and ROI

Pre-Sales, Communication Consulting

• Demonstrated success positioning services/solutions and driving deals to closure

• Strong high-level solutioning and estimation capability

• Excellent verbal and written communication skills, with the ability to articulate complex AI concepts to both technical and business audiences

• Proven collaboration with Marketing and account teams on GTM and account-growth strategies

• Multi-stakeholder and global client handling experience

Preferred Qualifications

• Bachelors / Masters in Computer Science, Engineering, or related field

• Relevant cloud and AI certifications (AWS / Azure / GCP AI/ML)

• Experience in an IT services / consulting environment

• Published thought leadership or contributions to AI communities

Key Competencies

Consultative selling Executive communication Technical depth Business storytelling Strong communication GTM collaboration Account mining Ownership Cross-cultural collaboration